151-0123-00L  Experimental Methods for Engineers

SemesterHerbstsemester 2016
DozierendeT. Rösgen, R. S. Abhari, K. Boulouchos, D. J. Norris, H.‑M. Prasser, A. Steinfeld
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch


KurzbeschreibungThe course presents an overview of measurement tasks in engineering environments. Different concepts for the acquisition and processing of typical measurement quantities are introduced. Following an initial in-class introduction, laboratory exercises from different application areas (especially in thermofluidics and process engineering) are attended by students in small groups.
LernzielIntroduction to various aspects of measurement techniques, with particular emphasis on thermo-fluidic applications.
Understanding of various sensing technologies and analysis procedures.
Exposure to typical experiments, diagnostics hardware, data acquisition and processing.
Study of applications in the laboratory.
Fundamentals of scientific documentation & reporting.
InhaltIn-class introduction to representative measurement techniques in the
research areas of the participating institutes (fluid dynamics, energy technology, process engineering)
Student participation in 8-10 laboratory experiments (study groups of 3-5 students, dependent on the number of course participants and available experiments)
Lab reports for all attended experiments have to be submitted by the study groups.
A final exam evaluates the acquired knowledge individually.
SkriptPresentations, handouts and instructions are provided for each experiment.
LiteraturHolman, J.P. "Experimental Methods for Engineers", McGraw-Hill 2001, ISBN 0-07-366055-8
Morris, A.S. & Langari, R. "Measurement and Instrumentation", Elsevier 2011, ISBN 0-12-381960-4
Eckelmann, H. "Einführung in die Strömungsmesstechnik", Teubner 1997, ISBN 3-519-02379-2
Voraussetzungen / BesonderesBasic understanding in the following areas:
- fluid mechanics, thermodynamics, heat and mass transfer
- electrical engineering / electronics
- numerical data analysis and processing (e.g. using MATLAB)